EconPapers    
Economics at your fingertips  
 

The Split-Plot Design

Bayo Lawal ()
Additional contact information
Bayo Lawal: Kwara State University, Department of Statistics and Mathematical Sciences

Chapter 15 in Applied Statistical Methods in Agriculture, Health and Life Sciences, 2014, pp 609-638 from Springer

Abstract: Abstract For the split-plot design, we are concerned with two or more factors, but we wish for more precise information on some of them than on others. If we are interested in more accurate information, for instance, on factor B than on A, then the usual scheme is to assign the various levels of factor A at random to whole plots (main plots) in each replicate as in a randomized complete block design. Following this, the levels of B are assigned at random to the split plots (subplots) within each whole plot. Such a scheme of randomization may arise not only from the desire for more precise information on one factor that on another but also because of the nature of the factors and the way in which they must be applied to the experimental units.

Keywords: Complete Block Design; Main Plot; Split Plot; Fertilizer Level; Subplot Treatment (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-05555-8_15

Ordering information: This item can be ordered from
http://www.springer.com/9783319055558

DOI: 10.1007/978-3-319-05555-8_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-12-11
Handle: RePEc:spr:sprchp:978-3-319-05555-8_15